Edge Delta Anomaly Detection is a log-based anomaly detection product that processes telemetry data to identify anomalous behavior across services in real time. The product uses machine learning algorithms to detect groupings of negative sentiment patterns within log data. When an anomaly is identified, the system automatically surfaces the incident and provides correlated context from associated logs and patterns to aid investigation. OnCall AI, Edge Delta's built-in troubleshooting copilot, generates automated summaries of detected anomalous behavior and provides resolution recommendations to assist engineers during incident response. Key capabilities include: - Real-time detection of anomalous log patterns using ML-based analysis - Automated behavioral summaries and remediation suggestions via OnCall AI - Drill-down visibility into correlated patterns and raw logs associated with any detected anomaly - Contextualized incident data spanning multiple services The product is positioned for engineering teams managing telemetry data at scale, with a stated goal of reducing incident detection and resolution time. A free trial is available via sign-up with email, Google, or GitHub.